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Lead Data Engineer

  • Lead Data Engineer job type Posted on: Oct 12, 2026
  • Lead Data Engineer experience level Openkyber
  • Lead Data Engineer employment type Atlanta, Georgia
  • Lead Data Engineer employment type Remote
  • Lead Data Engineer salary Full-time

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Job Title :

Lead Data Engineer

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

Yes

Jobcon Logo Job Description :

Senior Data Engineer Location: Remote Employment: 6-Month Contract Experience: 4+ Years Job Summary: We are looking for a Senior Data Engineer with strong hands-on experience in dbt Core, dbt Cloud, Fivetran, and Snowflake . The candidate will design, develop, deploy, and support scalable cloud-based ELT pipelines and analytics-ready data solutions.

Key Responsibilities:

  • Build and maintain dbt models, macros, tests, snapshots, seeds, packages, and documentation .
  • Configure and manage dbt Cloud jobs, schedules, deployments, and environments .
  • Configure and troubleshoot Fivetran connectors, incremental loads, schema changes, and syncs .
  • Develop scalable Snowflake databases, schemas, tables, views, and data models .
  • Write advanced SQL for transformation, validation, reconciliation, and performance optimization.
  • Design Bronze/Raw, Silver/Cleansed, Gold/Business-Ready, and Semantic layers .
  • Apply dimensional modeling, fact/dimension tables, star schemas, and proper data grain .
  • Implement Git, Azure DevOps, CI/CD, code reviews, and multi-environment deployments .
  • Apply Snowflake security including RBAC and dynamic data masking .
  • Support and refine Snowflake CoCo AI Agent semantic definitions and business metrics.
  • Troubleshoot end-to-end pipelines across Source Fivetran Snowflake dbt BI/Consumption .
  • Collaborate with data architects, engineers, BI teams, analysts, and business stakeholders.

Required Skills: 4+ years of Data Engineering / Analytics Engineering experience. Strong dbt Core & dbt Cloud experience. Strong Fivetran experience. Strong Snowflake experience. Advanced SQL and data transformation skills. Strong knowledge of ELT, data warehousing, dimensional modeling, and cloud data platforms . Experience with Git, Azure DevOps, CI/CD, automated testing, and data quality .

Preferred: dbt/Snowflake certification. Python experience. Salesforce, NetSuite, SAP, or Workday integration experience. Data governance, lineage, metadata, and observability experience. Consulting/client-facing experience.

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 12, 2026

Reference Number:

106492-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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Senior Data Engineer Location: Remote Employment: 6-Month Contract Experience: 4+ Years Job Summary: We are looking for a Senior Data Engineer with strong hands-on experience in dbt Core, dbt Cloud, Fivetran, and Snowflake . The candidate will design, develop, deploy, and support scalable cloud-based ELT pipelines and analytics-ready data solutions.

Key Responsibilities:

  • Build and maintain dbt models, macros, tests, snapshots, seeds, packages, and documentation .
  • Configure and manage dbt Cloud jobs, schedules, deployments, and environments .
  • Configure and troubleshoot Fivetran connectors, incremental loads, schema changes, and syncs .
  • Develop scalable Snowflake databases, schemas, tables, views, and data models .
  • Write advanced SQL for transformation, validation, reconciliation, and performance optimization.
  • Design Bronze/Raw, Silver/Cleansed, Gold/Business-Ready, and Semantic layers .
  • Apply dimensional modeling, fact/dimension tables, star schemas, and proper data grain .
  • Implement Git, Azure DevOps, CI/CD, code reviews, and multi-environment deployments .
  • Apply Snowflake security including RBAC and dynamic data masking .
  • Support and refine Snowflake CoCo AI Agent semantic definitions and business metrics.
  • Troubleshoot end-to-end pipelines across Source Fivetran Snowflake dbt BI/Consumption .
  • Collaborate with data architects, engineers, BI teams, analysts, and business stakeholders.

Required Skills: 4+ years of Data Engineering / Analytics Engineering experience. Strong dbt Core & dbt Cloud experience. Strong Fivetran experience. Strong Snowflake experience. Advanced SQL and data transformation skills. Strong knowledge of ELT, data warehousing, dimensional modeling, and cloud data platforms . Experience with Git, Azure DevOps, CI/CD, automated testing, and data quality .

Preferred: dbt/Snowflake certification. Python experience. Salesforce, NetSuite, SAP, or Workday integration experience. Data governance, lineage, metadata, and observability experience. Consulting/client-facing experience.

For applications and inquiries,

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